Overview

Dataset statistics

Number of variables23
Number of observations4056
Missing cells5226
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory728.9 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 1 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 1 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1866 (46.0%) missing valuesMissing
DM_Duration has 1866 (46.0%) missing valuesMissing
HbA1C_Admission_Value has 1494 (36.8%) missing valuesMissing
Gender has 1362 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.1%) zerosZeros
Cardiac_Arrest_Admission has 3973 (98.0%) zerosZeros
Non_Cardiac_Condition has 3942 (97.2%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1867 (46.0%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-28 17:19:13.852748
Analysis finished2023-03-28 17:21:31.508051
Duration2 minutes and 17.66 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66420118
Minimum0
Maximum1
Zeros1362
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:31.580626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47232719
Coefficient of variation (CV)0.71112067
Kurtosis-1.5168488
Mean0.66420118
Median Absolute Deviation (MAD)0
Skewness-0.69562877
Sum2694
Variance0.22309297
MonotonicityNot monotonic
2023-03-28T17:21:31.720385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%
ValueCountFrequency (%)
0 1362
33.6%
1 2694
66.4%
ValueCountFrequency (%)
1 2694
66.4%
0 1362
33.6%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.358974
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:31.929459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.726133
Coefficient of variation (CV)0.21084078
Kurtosis-0.11991294
Mean60.358974
Median Absolute Deviation (MAD)9
Skewness0.0030300895
Sum244816
Variance161.95446
MonotonicityNot monotonic
2023-03-28T17:21:32.152715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 148
 
3.6%
72 138
 
3.4%
57 132
 
3.3%
60 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2812
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Education
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9164201
Minimum0
Maximum5
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:32.484498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4234834
Coefficient of variation (CV)0.74278252
Kurtosis-0.57701972
Mean1.9164201
Median Absolute Deviation (MAD)1
Skewness0.31783119
Sum7773
Variance2.0263049
MonotonicityNot monotonic
2023-03-28T17:21:32.741461image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 248
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
ValueCountFrequency (%)
0 969
23.9%
1 248
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
ValueCountFrequency (%)
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 248
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31385602
Minimum0
Maximum2
Zeros2923
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:32.954118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53334237
Coefficient of variation (CV)1.6993218
Kurtosis1.2102412
Mean0.31385602
Median Absolute Deviation (MAD)0
Skewness1.4661896
Sum1273
Variance0.28445408
MonotonicityNot monotonic
2023-03-28T17:21:33.149378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
0 2923
72.1%
1 993
 
24.5%
2 140
 
3.5%
ValueCountFrequency (%)
2 140
 
3.5%
1 993
 
24.5%
0 2923
72.1%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022928994
Minimum0
Maximum2
Zeros3973
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:33.391986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16535103
Coefficient of variation (CV)7.2114384
Kurtosis69.458635
Mean0.022928994
Median Absolute Deviation (MAD)0
Skewness7.9312666
Sum93
Variance0.027340963
MonotonicityNot monotonic
2023-03-28T17:21:33.590466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
0 3973
98.0%
1 73
 
1.8%
2 10
 
0.2%
ValueCountFrequency (%)
2 10
 
0.2%
1 73
 
1.8%
0 3973
98.0%

Non_Cardiac_Condition
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028106509
Minimum0
Maximum1
Zeros3942
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:33.811318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16529752
Coefficient of variation (CV)5.8811117
Kurtosis30.647113
Mean0.028106509
Median Absolute Deviation (MAD)0
Skewness5.7124426
Sum114
Variance0.02732327
MonotonicityNot monotonic
2023-03-28T17:21:33.963138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
0 3942
97.2%
1 114
 
2.8%
ValueCountFrequency (%)
1 114
 
2.8%
0 3942
97.2%

Hypertension
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6469428
Minimum0
Maximum1
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:34.120192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.47797923
Coefficient of variation (CV)0.73882765
Kurtosis-1.6223864
Mean0.6469428
Median Absolute Deviation (MAD)0
Skewness-0.61515349
Sum2624
Variance0.22846414
MonotonicityNot monotonic
2023-03-28T17:21:34.258902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.7%
ValueCountFrequency (%)
1 2624
64.7%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56459566
Minimum0
Maximum1
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:34.411697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49587098
Coefficient of variation (CV)0.87827628
Kurtosis-1.9330084
Mean0.56459566
Median Absolute Deviation (MAD)0
Skewness-0.26066268
Sum2290
Variance0.24588802
MonotonicityNot monotonic
2023-03-28T17:21:34.585101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.5%
ValueCountFrequency (%)
1 2290
56.5%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071499
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:34.865981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99756365
Coefficient of variation (CV)0.9309982
Kurtosis-1.9804081
Mean1.071499
Median Absolute Deviation (MAD)0
Skewness-0.14341799
Sum4346
Variance0.99513324
MonotonicityNot monotonic
2023-03-28T17:21:35.022143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%
ValueCountFrequency (%)
0 1883
46.4%
2 2173
53.6%
ValueCountFrequency (%)
2 2173
53.6%
0 1883
46.4%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)2.0%
Missing1866
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean2000.347
Minimum1967
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:35.218477image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1985
Q11996
median2002
Q32007
95-th percentile2011
Maximum2013
Range46
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.9505741
Coefficient of variation (CV)0.0039745974
Kurtosis0.34796469
Mean2000.347
Median Absolute Deviation (MAD)5
Skewness-0.82043237
Sum4380760
Variance63.211629
MonotonicityNot monotonic
2023-03-28T17:21:35.438652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2002 285
 
7.0%
2007 169
 
4.2%
1992 152
 
3.7%
1997 149
 
3.7%
2000 117
 
2.9%
2008 112
 
2.8%
2006 101
 
2.5%
2003 100
 
2.5%
2010 87
 
2.1%
2011 81
 
2.0%
Other values (34) 837
20.6%
(Missing) 1866
46.0%
ValueCountFrequency (%)
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
 
< 0.1%
1973 3
 
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
1977 8
0.2%
1978 1
 
< 0.1%
1979 3
 
0.1%
ValueCountFrequency (%)
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%
2004 67
 
1.7%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct42
Distinct (%)1.9%
Missing1866
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean11.910046
Minimum0
Maximum45
Zeros30
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:35.671842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median10
Q316
95-th percentile27.55
Maximum45
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.8874935
Coefficient of variation (CV)0.66225552
Kurtosis0.39217643
Mean11.910046
Median Absolute Deviation (MAD)5
Skewness0.83482079
Sum26083
Variance62.212553
MonotonicityNot monotonic
2023-03-28T17:21:35.938294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 342
 
8.4%
20 200
 
4.9%
15 173
 
4.3%
5 172
 
4.2%
12 115
 
2.8%
6 103
 
2.5%
7 91
 
2.2%
4 88
 
2.2%
2 88
 
2.2%
1 83
 
2.0%
Other values (32) 735
 
18.1%
(Missing) 1866
46.0%
ValueCountFrequency (%)
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
9 40
 
1.0%
ValueCountFrequency (%)
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
 
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%
34 1
 
< 0.1%
33 9
0.2%
32 16
0.4%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0729783
Minimum0
Maximum2
Zeros1867
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:36.130493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99423721
Coefficient of variation (CV)0.92661446
Kurtosis-1.9730146
Mean1.0729783
Median Absolute Deviation (MAD)0
Skewness-0.14639868
Sum4352
Variance0.98850763
MonotonicityNot monotonic
2023-03-28T17:21:36.303294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1867
46.0%
1 26
 
0.6%
ValueCountFrequency (%)
0 1867
46.0%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1867
46.0%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3454142
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:36.507296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0141959
Coefficient of variation (CV)0.31742544
Kurtosis1.6499285
Mean6.3454142
Median Absolute Deviation (MAD)1
Skewness-1.4698797
Sum25737
Variance4.0569851
MonotonicityNot monotonic
2023-03-28T17:21:36.661002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1868
46.1%
8 896
22.1%
5 489
 
12.1%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.1%
6 34
 
0.8%
7 1868
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1868
46.1%
6 34
 
0.8%
5 489
 
12.1%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92973373
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:36.842208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67269708
Coefficient of variation (CV)0.72353735
Kurtosis0.70240273
Mean0.92973373
Median Absolute Deviation (MAD)0
Skewness0.51647871
Sum3771
Variance0.45252136
MonotonicityNot monotonic
2023-03-28T17:21:36.995372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct383
Distinct (%)14.9%
Missing1494
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean7.5875995
Minimum3.2
Maximum88.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:37.255330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile4.9
Q15.9
median7
Q38.9575
95-th percentile11.9095
Maximum88.4
Range85.2
Interquartile range (IQR)3.0575

Descriptive statistics

Standard deviation2.7882207
Coefficient of variation (CV)0.36747072
Kurtosis274.90232
Mean7.5875995
Median Absolute Deviation (MAD)1.37
Skewness10.043542
Sum19439.43
Variance7.7741745
MonotonicityNot monotonic
2023-03-28T17:21:37.563151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.6%
5.9 71
 
1.8%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
5.4 48
 
1.2%
Other values (373) 1911
47.1%
(Missing) 1494
36.8%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
4.16 2
 
< 0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
15.2 2
< 0.1%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85281065
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:37.802510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35572748
Coefficient of variation (CV)0.41712363
Kurtosis1.9629583
Mean0.85281065
Median Absolute Deviation (MAD)0
Skewness-1.9594277
Sum3459
Variance0.12654204
MonotonicityNot monotonic
2023-03-28T17:21:37.975357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.2%
0 599
 
14.8%
2 2
 
< 0.1%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.2%
2 2
 
< 0.1%
ValueCountFrequency (%)
2 2
 
< 0.1%
1 3455
85.2%
0 599
 
14.8%

Heart_Rate
Real number (ℝ)

Distinct140
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.193526
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:38.207203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.050612
Coefficient of variation (CV)0.24709169
Kurtosis3.2586592
Mean85.193526
Median Absolute Deviation (MAD)12
Skewness1.0288679
Sum345544.94
Variance443.12826
MonotonicityNot monotonic
2023-03-28T17:21:38.423594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 299
 
7.4%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.4%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (130) 2527
62.3%
ValueCountFrequency (%)
0 5
0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
42 4
 
0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct204
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.553375
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:38.651621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124.25
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.309018
Coefficient of variation (CV)0.17743126
Kurtosis2.374504
Mean97.553375
Median Absolute Deviation (MAD)10
Skewness-0.34469029
Sum395676.49
Variance299.60211
MonotonicityNot monotonic
2023-03-28T17:21:38.882953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 145
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
95 123
 
3.0%
88 123
 
3.0%
102 111
 
2.7%
Other values (194) 2590
63.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1715
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4595105
Minimum0.33
Maximum17.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:39.181950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.3
Q15.8
median7.1
Q38.5
95-th percentile12.8
Maximum17.8
Range17.47
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation2.6288369
Coefficient of variation (CV)0.35241412
Kurtosis2.0636053
Mean7.4595105
Median Absolute Deviation (MAD)1.30235
Skewness0.9717606
Sum30255.775
Variance6.9107833
MonotonicityNot monotonic
2023-03-28T17:21:39.431814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
1.9%
5.2 76
 
1.9%
5.6 69
 
1.7%
5 68
 
1.7%
4.8 55
 
1.4%
5.8 53
 
1.3%
5.4 53
 
1.3%
6.2 53
 
1.3%
5.5 52
 
1.3%
5.7 49
 
1.2%
Other values (1705) 3449
85.0%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
17.8 1
 
< 0.1%
17.7 2
 
< 0.1%
17.62 1
 
< 0.1%
17.6 1
 
< 0.1%
17.4 2
 
< 0.1%
17.3 3
 
0.1%
17.2 3
 
0.1%
17.17 1
 
< 0.1%
17.07 1
 
< 0.1%
17 8
0.2%
Distinct883
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7495859
Minimum0.07
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:39.823592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.9
Q13.8975
median4.7
Q35.5
95-th percentile6.9
Maximum15.7
Range15.63
Interquartile range (IQR)1.6025

Descriptive statistics

Standard deviation1.3057362
Coefficient of variation (CV)0.27491579
Kurtosis3.4077269
Mean4.7495859
Median Absolute Deviation (MAD)0.8
Skewness0.77680223
Sum19264.321
Variance1.7049469
MonotonicityNot monotonic
2023-03-28T17:21:40.027814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.6 73
 
1.8%
4.2 73
 
1.8%
5.6 70
 
1.7%
4.9 67
 
1.7%
4.1 67
 
1.7%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (873) 3339
82.3%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
15.7 1
< 0.1%
13.74 1
< 0.1%
12.65 1
< 0.1%
11.8 2
< 0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
9.91 1
< 0.1%
Distinct798
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.660725
Minimum0.01
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:40.281788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.43785
Q32
95-th percentile3.5
Maximum17.6
Range17.59
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1112675
Coefficient of variation (CV)0.66914603
Kurtosis34.337332
Mean1.660725
Median Absolute Deviation (MAD)0.47215
Skewness4.0177251
Sum6735.9006
Variance1.2349155
MonotonicityNot monotonic
2023-03-28T17:21:40.538164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.2 107
 
2.6%
1.1 107
 
2.6%
1.3 102
 
2.5%
0.8 100
 
2.5%
0.9 98
 
2.4%
1.5 97
 
2.4%
1.4 91
 
2.2%
1.6 91
 
2.2%
1.8 80
 
2.0%
Other values (788) 3075
75.8%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%
8.88 1
< 0.1%

BMI
Real number (ℝ)

Distinct1241
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.821329
Minimum13.34
Maximum96.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:40.809482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.93
median27.76
Q331.53
95-th percentile39.4425
Maximum96.88
Range83.54
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation5.8855753
Coefficient of variation (CV)0.20420902
Kurtosis7.936649
Mean28.821329
Median Absolute Deviation (MAD)3.235
Skewness1.6821607
Sum116899.31
Variance34.639997
MonotonicityNot monotonic
2023-03-28T17:21:41.048432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
27.34 27
 
0.7%
31.25 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 23
 
0.6%
Other values (1231) 3756
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%
57.78 1
< 0.1%
57.19 1
< 0.1%
57.16 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3493
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.458828
Minimum5.21
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2023-03-28T17:21:41.280210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.21
5-th percentile25.7575
Q157.575
median83.155
Q3110.715
95-th percentile166.6775
Maximum1164.7
Range1159.49
Interquartile range (IQR)53.14

Descriptive statistics

Standard deviation52.821056
Coefficient of variation (CV)0.59712589
Kurtosis102.77905
Mean88.458828
Median Absolute Deviation (MAD)26.655
Skewness6.1727336
Sum358789
Variance2790.064
MonotonicityNot monotonic
2023-03-28T17:21:41.507986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.2 6
 
0.1%
86.1 6
 
0.1%
110.7 4
 
0.1%
97.17 4
 
0.1%
76.16 4
 
0.1%
76.26 4
 
0.1%
79.9 4
 
0.1%
67.65 4
 
0.1%
66.05 3
 
0.1%
88.56 3
 
0.1%
Other values (3483) 4014
99.0%
ValueCountFrequency (%)
5.21 1
< 0.1%
5.24 1
< 0.1%
5.57 1
< 0.1%
5.7 1
< 0.1%
5.98 1
< 0.1%
6.18 1
< 0.1%
6.23 1
< 0.1%
6.29 1
< 0.1%
6.33 1
< 0.1%
6.39 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-28T17:21:25.215922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:15.009755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:20.600457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:27.323956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:33.422900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:40.095221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:46.873717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:52.352231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:58.924824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:06.372029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:12.438761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:17.470836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:22.078711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:27.868091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:35.255210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:43.430366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:48.844610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:54.193558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:58.968149image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:03.967305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:09.835178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:14.965443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:20.544255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:25.415659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:15.259108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:20.789478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:27.632699image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:33.710968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:40.336136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:47.107931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:52.624300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:59.355696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:06.557847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:12.637234image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:17.664211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:22.278796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:28.170843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-28T17:21:29.413124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:19.586905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:25.970245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:32.325963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:38.976989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:45.889705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:51.276144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:57.058794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:05.561459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:11.594592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:16.616158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:21.332926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:26.507478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:34.267818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:41.792738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:48.003896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:53.244980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:58.165328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:03.107936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:08.833840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:14.078852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:19.667395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:24.411458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:29.628681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:19.899643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:26.321889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:32.603016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:39.254518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:46.137471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:51.491633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:57.359141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:05.787163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:11.802595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:16.828463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:21.518544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:26.720909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:34.621187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:42.334313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:48.221383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:53.486653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:58.372251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:03.327533image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:09.074377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:14.298440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:19.883661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:24.632317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:29.821889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:20.135534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:26.642508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:32.898896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:39.518189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:46.401627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:51.827333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:57.655390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:05.971054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:12.002802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:17.088974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:21.720920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:26.938479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:34.859644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:42.740844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:48.474091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:53.760459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:58.575281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:03.535350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:09.459504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:14.530178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:20.100880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:24.830010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:30.028589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:20.359179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:26.959186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:33.139913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:39.792318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:46.628022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:52.120790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:19:58.120185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:06.174145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:12.205602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:17.277940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:21.884135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:27.368709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:35.057122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:43.121115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:48.648871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:53.983582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:20:58.778770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:03.733274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:09.638655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:14.738516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:20.317092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-28T17:21:25.007145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-28T17:21:41.748240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.158-0.0070.3790.014-0.009-0.208-0.122-0.1640.091-0.092-0.1610.047-0.146-0.1270.067-0.130-0.035-0.091-0.002-0.004-0.1730.106
Age-0.1581.000-0.033-0.541-0.0020.0950.2580.1180.123-0.2980.3000.1330.0010.2600.029-0.0790.041-0.1010.030-0.171-0.219-0.151-0.634
Education-0.007-0.0331.0000.050-0.0190.007-0.009-0.039-0.0050.004-0.006-0.004-0.027-0.022-0.0130.0040.0070.004-0.0240.020-0.0180.0310.033
Work0.379-0.5410.0501.000-0.005-0.069-0.242-0.120-0.1670.211-0.211-0.1720.026-0.184-0.1030.056-0.0620.023-0.0870.1180.1330.0530.404
Cardiac_Arrest_Admission0.014-0.002-0.019-0.0051.0000.081-0.006-0.031-0.002-0.0150.012-0.0040.025-0.034-0.006-0.0380.054-0.0270.0200.0070.004-0.008-0.041
Non_Cardiac_Condition-0.0090.0950.007-0.0690.0811.0000.0570.0140.042-0.0530.0550.042-0.0030.029-0.001-0.0340.114-0.0220.013-0.051-0.025-0.024-0.165
Hypertension-0.2080.258-0.009-0.242-0.0060.0571.0000.3950.334-0.1120.1120.329-0.0380.1450.198-0.0080.0990.0880.139-0.1300.0090.108-0.230
Dyslipidemia-0.1220.118-0.039-0.120-0.0310.0140.3951.0000.327-0.0640.0690.323-0.0670.1100.2230.0150.0220.0850.125-0.0700.0820.097-0.096
DM-0.1640.123-0.005-0.167-0.0020.0420.3340.3271.000-0.0220.0260.988-0.0260.1020.668-0.0230.1150.1120.408-0.1170.1060.138-0.101
Year_DM_Diagnosed0.091-0.2980.0040.211-0.015-0.053-0.112-0.064-0.0221.000-0.9950.069-0.053-0.074-0.0930.095-0.064-0.0420.0010.1730.080-0.1140.216
DM_Duration-0.0920.300-0.006-0.2110.0120.0550.1120.0690.026-0.9951.000-0.0660.0440.0770.085-0.0950.0600.0440.001-0.175-0.0810.108-0.220
DM_Type-0.1610.133-0.004-0.172-0.0040.0420.3290.3230.9880.069-0.0661.000-0.0220.1030.664-0.0210.1090.1100.406-0.1190.1020.136-0.109
DM_Treatment0.0470.001-0.0270.0260.025-0.003-0.038-0.067-0.026-0.0530.044-0.0221.000-0.025-0.081-0.013-0.003-0.105-0.020-0.011-0.004-0.0270.010
Smoking_History-0.1460.260-0.022-0.184-0.0340.0290.1450.1100.102-0.0740.0770.103-0.0251.0000.078-0.0050.022-0.0320.038-0.082-0.084-0.000-0.199
HbA1C_Admission_Value-0.1270.029-0.013-0.103-0.006-0.0010.1980.2230.668-0.0930.0850.664-0.0810.0781.000-0.0020.1140.1030.492-0.0030.1830.1410.007
Lipid_24_Collected0.067-0.0790.0040.056-0.038-0.034-0.0080.015-0.0230.095-0.095-0.021-0.013-0.005-0.0021.000-0.0430.036-0.014-0.009-0.062-0.0200.055
Heart_Rate-0.1300.0410.007-0.0620.0540.1140.0990.0220.115-0.0640.0600.109-0.0030.0220.114-0.0431.000-0.0110.1100.017-0.0040.048-0.060
Waist-0.035-0.1010.0040.023-0.027-0.0220.0880.0850.112-0.0420.0440.110-0.105-0.0320.1030.036-0.0111.0000.108-0.0130.1260.5140.259
Fasting_Blood_Glucose_Value_SI_Units-0.0910.030-0.024-0.0870.0200.0130.1390.1250.4080.0010.0010.406-0.0200.0380.492-0.0140.1100.1081.0000.0050.1620.1450.008
Cholesterol_Value_SI_Units-0.002-0.1710.0200.1180.007-0.051-0.130-0.070-0.1170.173-0.175-0.119-0.011-0.082-0.003-0.0090.017-0.0130.0051.0000.3980.0330.146
Triglycerides_Value_SI_Units-0.004-0.219-0.0180.1330.004-0.0250.0090.0820.1060.080-0.0810.102-0.004-0.0840.183-0.062-0.0040.1260.1620.3981.0000.1630.161
BMI-0.173-0.1510.0310.053-0.008-0.0240.1080.0970.138-0.1140.1080.136-0.027-0.0000.141-0.0200.0480.5140.1450.0330.1631.0000.379
Creatinine_Clearance0.106-0.6340.0330.404-0.041-0.165-0.230-0.096-0.1010.216-0.220-0.1090.010-0.1990.0070.055-0.0600.2590.0080.1460.1610.3791.000

Missing values

2023-03-28T17:21:30.382636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-28T17:21:30.994965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-03-28T17:21:31.362750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
015211001122003.010.0234NaN284.9496.787.22714.45201.568027.329283.6008
10730000110NaNNaN070NaN175.0060.007.00005.38001.850020.000024.1200
206440001122002.010.0251NaN1117.0085.0011.93005.40002.240033.290063.6000
305600000121988.024.02917.1082.0085.004.40004.70001.300031.2200114.2400
40780000100NaNNaN0715.6090.0090.006.20004.11001.110019.560027.5500
51542000100NaNNaN0715.6175.0091.004.00005.20002.200023.050092.3700
60542000000NaNNaN071NaN090.0093.006.45024.99121.318723.810073.4200
70632000000NaNNaN071NaN1100.0088.008.49716.50002.500028.300095.5300
816200001122000.012.02827.6150.00107.007.70004.06001.150027.180078.8800
915900000122002.010.02408.01110.0097.008.45407.74003.910025.240070.2100
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
404617400001121987.025.02118.3188.098.3810.80005.14001.100028.4156.50
40471764100100NaNNaN070NaN0140.070.007.70964.73021.492225.7134.66
404816152011121993.020.02817.4187.090.004.20005.10002.500029.7650.65
404905620001022004.08.02318.1062.0115.007.20007.44002.320033.12109.82
405014101001122006.07.0282NaN1106.079.007.38015.90001.900027.9788.77
405117520001122001.011.02518.8198.092.007.50004.67002.220023.5145.28
405215600200121996.015.028011.61120.093.007.90006.66001.530029.3983.77
405315540000022006.07.028011.61109.072.009.20003.95000.800022.8489.61
40541772000100NaNNaN071NaN1100.085.005.71486.71000.650022.0431.00
405517320001121987.025.0290NaN1100.0117.009.37794.10001.770029.0167.36